Nonnegative matrix factorizations performing object detection and localization
Applied Computational Intelligence and Soft Computing
| Hi-index | 0.00 |
Face recognition has received growing attention because of its wide applications. In this paper, an efficient face recognition algorithm based on non-negative matrix factorization (NMF) and SVM is proposed. The high dimension face images are first projected into a lower-dimensional subspace using NMF. The SVM classifier is then used to classify the face image into different classes. The experimental results demonstrate the effectiveness of the proposed algorithm.